Google Cloud
Professional Machine Learning Engineer
Cloud-based ML engineering for data scientists
A professional credential for building, evaluating, and productionizing ML solutions on Google Cloud.
Who it suits
Suits data scientists who ship models on a major cloud rather than in a SAS environment.
Key differences
- It centers on cloud ML engineering and monitoring, whereas the SAS credential combines SAS programming with AI and ML in SAS Viya.
- It is written, while the SAS credential is practically assessed.
- It is tied to Google Cloud rather than SAS tooling.
- Level
- Professional
- Assessment
- Written
- Study time
- 90-150h
- Listed from
- $200

